Frequency domain system identification of fixed-wing unmanned aerial vehicles

dc.contributor.authorXu, Kaiwen Jr
dc.contributor.examiningcommitteeKinsner, Witold (Electrical and Computer Engineering) Balakrishnan, S. (Mechanical Engineering)en_US
dc.contributor.supervisorSepehri, Nariman (Mechanical Engineering) Bolandhemmat, Hamidreza (Mechanical Engineering)en_US
dc.date.accessioned2014-09-02T19:08:03Z
dc.date.available2014-09-02T19:08:03Z
dc.date.issued2014-09-02
dc.degree.disciplineMechanical and Manufacturing Engineeringen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractThe goal of this thesis is to identify airplanes’ reduced order transfer functions, and aerodynamic derivatives in the longitudinal channel. The outcome of the research will benefit aircraft systems’ controller design, modeling and simulation. To identify the system transfer functions and aerodynamic derivatives, direct and indirect frequency domain identification methods are applied. For the direct method, the Equation Error (EE) method is adopted to process the Cropcam’s input-output data pairs and identify the aerodynamic derivatives from the flight data directly. The indirect approach is called the Transfer Function (TF) method. The derivatives identified by the EE method and transfer function method are compared with the ones computed from a Vortex Lattice based program called AVL. The identification results are further verified by comparing computer simulation outputs with flight test responses.en_US
dc.description.noteOctober 2014en_US
dc.identifier.urihttp://hdl.handle.net/1993/23942
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectidentificationen_US
dc.subjectfrequencyen_US
dc.titleFrequency domain system identification of fixed-wing unmanned aerial vehiclesen_US
dc.typemaster thesisen_US
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